Recognition of MIR Data of Semen Armeniacae Amarum and Semen Persicae Using Discrete Wavelet Transformation and BP-Artificial Neural NetworkReportar como inadecuado




Recognition of MIR Data of Semen Armeniacae Amarum and Semen Persicae Using Discrete Wavelet Transformation and BP-Artificial Neural Network - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Spectroscopy: An International JournalVolume 27 2012, Issue 4, Pages 253-264

College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, China

Chuyang Honors College, Zhejiang Normal University, Jinhua 321004, China

Copyright © 2012 Cun-Gui Cheng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Horizontal attenuation total reflection-Fourier transformation infrared spectroscopy HATR-FT-IR is used to measure the Mid-IR MIR of semen armeniacae amarum and its confusable varieties semen persicae. In order to extrude the difference between semen armeniacae amarum and semen persicae, discrete wavelet transformation DWT is used to decompose the MIR of semen armeniacae amarum and semen persicae. Two main scales are selected as the feature extracting space in the DWT domain. According to the distribution of semen armeniacae amarum and semen persicae’s MIR, five feature regions are determined at every spectra band by selecting two scales in the DWT domain. Thus, ten feature parameters form the feature vector. The feature vector is input to the back-propagation artificial neural network BP-ANN to train so as to accurately classify the semen armeniacae amarum and semen persicae. 100 couples of MIR are used to train and test the proposed method, where 50 couples of data are used to train samples and other 50 couples of data are used to test samples. Experimental results show that the accurate recognition rate between semen armeniacae amarum and semen persicae is averaged 99% following the proposed method.





Autor: Cun-Gui Cheng, Peng Yu, Chang-Shun Wu, and Jia-Ni Shou

Fuente: https://www.hindawi.com/



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